## Abstract

A parallel algorithm for solving meeting schedule problems is presented in this paper where the problem is NP-complete. The proposed system is composed of two maximum neural networks which interact with each other. One is an M×S neural network to assign meetings to available time slots on a timetable where M and S are the number of meetings and the number of time slots, respectively. The other is an M×P neural network to assign persons to the meetings where P is the number of persons. The simulation results show that the state of the system always converges to one of the solutions and that the solution quality of the proposed algorithm does not degrade with the problem size.

Original language | English |
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Pages | 173-177 |

Number of pages | 5 |

Publication status | Published - 1996 Dec 1 |

Externally published | Yes |

Event | Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust Duration: 1996 Nov 26 → 1996 Nov 29 |

### Other

Other | Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) |
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City | Perth, Aust |

Period | 96/11/26 → 96/11/29 |

## ASJC Scopus subject areas

- Computer Science Applications
- Electrical and Electronic Engineering